Machine Learning Researcher

Contextual Suggestion

Our paper "Generalized Group Profiling for Content Customization", with Hosein Azarbonyad, Jaap Kamps, and Maarten Marx, has been accepted as a short paper at the ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'16). \o/ There is an ongoing debate on personalization, adapting results to the unique user exploiting a user's personal history, versus […]

This year, we participated in the TREC 2015 Contextual Suggestion Track. Contextual suggestion is the task of searching for complex information needs that are highly dependent on both context and user interests. Creating effective profiles for both users and contexts is the main key to build an effective contextual suggestion system. To address these issues, we […]